Implementasi Sintesis Suara Saron Menggunakan Petikan Senar Gitar Dengan Metode Pitch Shifting

Andreas Febrillianto Primawan(1*), Yohannes Suyanto(2), Catur Atmaji(3)

(1) Program Studi Elektronika dan Instrumentasi, FMIPA UGM, Yogyakarta
(2) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(3) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(*) Corresponding Author


 Gamelan is traditional Indonesian musical instruments that is often used in traditional events and parties.The community's need for the gamelan has actually increased, but unfortunately the price of gamelan is very expensive and the gamelan itself is difficult to move from one place to another place. Besides that, the limited tones that can be played by gamelan reduce the level of public interest in playing this instrument. Current technological developments make it possible to perform voice synthesis with several methods. One method that can be used is pitch shifting.

This study aims to generate a synthetic saron sound based on plucking a guitar string. Analysis of the saron sound signal in the frequency domain is carried out to obtain the semitone values needed in the synthesis process. Synthetic saron signal generation is done by calling synthetic saron sounds that are stored in soundfont form, with reference data in the form of high and low pitch obtained from the guitar input pitch detection. Onset detection of guitar strokes is used as the initial trigger for calling out synthetic saron tones. The test was carried out by looking for similarities between the sound data of the original saron and synthetic saron using the cross-correlation method. The test results obtained a similarity accuracy rate of 91.6%. On the results of testing the guitar strum signal with the generation output, the average delay time for each strum is 0.152 seconds. From the results obtained, the system is classified as fast and accurate enough to be implemented in everyday life.


gamelan; pitch shifting; onset detection; cross correlation

Full Text:



[1] A. I. Hasan and U. G. Mada, “Pembangkitan Warna Suara Saron Sintetis Berdasarkan Petikan Senar Gitar ( Synthesis of Saron Timbre Based on Guitar String Picking ) Berdasarkan Petikan Senar Gitar Based on Guitar String Picking,” no. October 2017, 2019, [Online]. Available: [Accessed: 20 Oktober 2019]

[2] B. Oscar, Y. K. Suprapto, and S. Hardiristanto, “Pembangkitan Suara Sintetik Berbasis Spectrum Density pada Gamelan Kelompok Balungan,” pp. 1–6, 2014, [Online]. Available: [Accessed: 7 Juni 2019]

[3] Y. Pramudya, L. Widayanti, and F. Melliagrina, “Frequency Measurement of Bonang Barung and Peking in Javanese Gamelan using Audacity,” J. Phys. Conf. Ser., vol. 1075, no. 1, 2018, doi: 10.1088/1742-6596/1075/1/012047.

[4] L. M. Craig and R. Mitchell Parry, “A real-time audio effect plug-in inspired by the processes of traditional Indonesian gamelan music,” Proc. Int. Conf. Digit. Audio Eff. DAFx, pp. 75–82, 2019, [Online]. Available: [Accessed: 21 April 2021]

[5] I. M. Widiartha and A. A. I. N. Karyawati, “Aplikasi Gamelan Caruk Berbasis Mobile Menggunakan Metode Sintesis Suara Modified Frequency Modulation,” J. Ilmu Komput., vol. 11, no. 1, p. 37, 2018, doi: 10.24843/jik.2018.v11.i01.p05.

[6] M. Ichwan, M. Gustiana, and A. Syafiudin, “Implementasi Metoda Unit Selection Synthesizer Dalam Pembuatan Speech Synthesizer Suara Suling Recorder,” MIND J., vol. 3, no. 1, pp. 77–92, 2019, doi: 10.26760/mindjournal.v3i1.77-92.

[7] P. J. A. Malau and Y. Suyanto, “Sintesis Taganing Adaptif Menggunakan Metode Pitch Shifting by Delay-Line Based untuk Standardisasi Gondang Batak Toba,” IJEIS (Indonesian J. Electron. Instrum. Syst., vol. 10, no. 2, p. 131, 2020, doi: 10.22146/ijeis.37659.

[8] E. M. Budi and A. S. Sarwono Hermawan K. Dipojono, Andrianto Handojo, Joko, “Improved MIDI Message for Robotic Angklung Choir,” Second Int. Conf. Informatics Eng. Inf. Sci., no. November, pp. 155–162, 2013, [Online]. Available: [Accessed: 5 Oktober 2019]

[9] M. P. Evanstein, “SCAMP : Suite for Computer-Assisted Music in Python,” no. July, 2019, [Online]. Available: [Accessed: 22 Maret 2021]

[10] T. Royer, “Pitch-shifting algorithm design and applications in music,” pp. 1–93, 2019, [Online]. Available: [Accessed: 29 Maret 2021]

[11] A. de Cheveigné and H. Kawahara, “YIN, a fundamental frequency estimator for speech and music,” J. Acoust. Soc. Am., vol. 111, no. 4, pp. 1917–1930, 2002, doi: 10.1121/1.1458024.

[12] S. Böck, A. Arzt, F. Krebs, and M. Schedl, “Online real-time onset detection with recurrent neural networks,” Proc. Int. Conf. Digit. Audio Eff. DAFx, pp. 15–18, 2012, [Online]. Available: [Accessed: 18 April 2021]


Article Metrics

Abstract views : 618 | views : 608


  • There are currently no refbacks.

Copyright (c) 2023 IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Copyright of :
IJEIS (Indonesian Journal of Electronics and Instrumentations Systems)
ISSN 2088-3714 (print); ISSN 2460-7681 (online)
is a scientific journal the results of Electronics
and Instrumentations Systems
A publication of IndoCEISS.
Gedung S1 Ruang 416 FMIPA UGM, Sekip Utara, Yogyakarta 55281
Fax: +62274 555133 |

View My Stats1
View My Stats2